Model card
Oracle-BERT.
Unknownnlporacle-extractive1 current SOTA
Oracle extractive upper bound using BERT embeddings. From HowSumm paper (arXiv 2110.03179).
§ 02 · Benchmarks
Every benchmark Oracle-BERT has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | howsumm-step | Computer Vision · Optical Character Recognition | rouge-1 | 46.8% | #1 | 2021-10-07 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Oracle-BERT actually performs.
§ 04 · Papers
1 paper with results for Oracle-BERT.
- 2021-10-07· Computer Vision· 1 result
HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
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HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
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PAN
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SPCNET
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TESTR
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§ 06 · Sources & freshness
Where these numbers come from.
paper
1
result
1 of 1 rows marked verified.